We have developed a semantic data validation tool that is capable of observing incoming
realtime sensor data and performing reasoning against a set of rules specific to the scientific
domain to which the data belongs. Our software solution can produce a variety of different
outcomes when a data anomaly or unexpected event is detected, ranging from simple flagging of
data points, to data augmentation, to validation of proposed hypotheses that could explain the
phenomenon. Hosted on the Jena Semantic Web Framework, the tool is completely domain-agnostic
and is made domainaware by reference to an ontology and Knowledge Base (KB) that together
describe the key resources of the system being observed.More >>